A Lean Persistent Homology Library for Python
Ripser is now a Python class implemented in the Scikit-learn style. It is easy to install, only requires that you have Cython installed first. It is even easier to use.
For the C++ library, see Ripser/ripser.
Details from the old readme can be found here.
Installation requires Cython, and currently must be installed from source. An example of how to install is
pip install Cython pip install Ripser
We use matplotlib for generating persistence diagrams
import numpy as np from ripser import Rips r = Rips() data = np.random.random((100,2)) diagram = r.fit_transform(data) r.plot(diagram)
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|ripser-0.1.6-cp36-cp36m-macosx_10_12_x86_64.whl (48.4 kB) Copy SHA256 hash SHA256||Wheel||cp36|
|ripser-0.1.6.tar.gz (59.2 kB) Copy SHA256 hash SHA256||Source||None|